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Drive Business Growth While Satisfying GDPR and CCPA

Big Data LDN
This course is no longer available. Find a similar course by searching these:
analytics data science privacy compliance re-identification privacy-preserving approaches data driven organization

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Read about what's good
what should give you pause
and possible dealbreakers
Discusses automation and risk of re-identification for privacy compliance while preserving analytical value of data
Covers new privacy-preserving approaches for data driven organizations
Addresses evolving privacy controls in data science and analytics environments
Instructors are Big Data LDN, recognized for their work in data science and analytics

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Career center

Learners who complete Drive Business Growth While Satisfying GDPR and CCPA will develop knowledge and skills that may be useful to these careers:
Privacy Analyst
Privacy Analysts help businesses comply with privacy regulations. This course can help prepare for a career as a Privacy Analyst by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Privacy Analyst
Data Protection Officer
Data Protection Officers help businesses comply with privacy regulations. This course may be useful for those interested in a career as a Data Protection Officer by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Data Protection Officer
Privacy Lawyer
Privacy Lawyers help businesses comply with privacy regulations. This course may be useful for those interested in a career as a Privacy Lawyer by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Privacy Lawyer
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course can help build a foundation for a career in Data Analysis by providing an understanding of the legal and ethical implications of collecting and using data. Additionally, the course will cover data analysis techniques that can be used to preserve the privacy of individuals.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists analyze large quantities of data to extract insights and help businesses make informed decisions. This course can help build a foundation for a career in Data Science by providing an understanding of the legal and ethical implications of collecting and using data. Additionally, the course will cover data science techniques that can be used to preserve the privacy of individuals.
See salaries and explore the career path for Data Scientist
Compliance Analyst
Compliance Analysts help businesses comply with regulations. This course may be useful for those interested in a career as a Compliance Analyst by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Compliance Analyst
Information Security Analyst
Information Security Analysts protect businesses from cyberattacks and data breaches. This course can help build a foundation for a career in Information Security by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Information Security Analyst
Auditor
Auditors examine financial and operational records to ensure compliance with regulations. This course may be useful for those interested in a career as an Auditor by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Auditor
Risk Analyst
Risk Analysts identify and assess risks to businesses. This course may be useful for those interested in a career as a Risk Analyst by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Risk Analyst
Customer Success Manager
Customer Success Managers help businesses retain customers. This course may be useful for those interested in a career as a Customer Success Manager by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Customer Success Manager
Product Manager
Product Managers develop and manage products. This course may be useful for those interested in a career as a Product Manager by providing an understanding of the legal and ethical implications of collecting and using data. Additionally, the course may cover product management techniques that can be used to protect the privacy of users.
See salaries and explore the career path for Product Manager
Business Analyst
Business Analysts help businesses improve their operations. This course may be useful for those interested in a career as a Business Analyst by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Business Analyst
Marketing Manager
Marketing Managers develop and implement marketing campaigns. This course may be useful for those interested in a career as a Marketing Manager by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Marketing Manager
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for those interested in a career in Software Engineering by providing an understanding of the legal and ethical implications of collecting and using data. Additionally, the course may cover software engineering techniques that can be used to protect the privacy of users.
See salaries and explore the career path for Software Engineer
Sales Manager
Sales Managers lead and motivate sales teams. This course may be useful for those interested in a career as a Sales Manager by providing an understanding of the legal and ethical implications of collecting and using data.
See salaries and explore the career path for Sales Manager

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Via
Pluralsight
Instructor
Big Data LDN
This course belongs to a collection called Big Data LDN 2019 . It's comprised of 101 courses:
  1. The Database Is Only Half Done
  2. Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
  3. Multiparadigm Data Science: The Next Frontier in Decision Making
  4. Achieving 100% Adoption of Analytics in the Enterprise
  5. Data Skills: How Mondi Does Digital
  6. Building a Modern Data Architecture for the Data Driven Enterprise
  7. Harnessing the Power of Data to Improve Public Health
  8. Real-time Data Analytics at Scale Using Cloud Services
  9. Quick and Easy Access to Data through a Logical Data Warehouse Environment
  10. The Promise of Data Mastering at Scale
  11. Research vs. Reality in AI: Would You Trust Your Model with Your Life?
  12. Modernise Your IT Infrastructure for AI
  13. Scaling Machine Learning at Holiday Extras
  14. Why Do Some Machine Learning Models Fail?
  15. AI: Lessons Learned from the Front Line
  16. Machine Learning in Real-time: Predicting Taxi Fare in NYC
  17. How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
  18. Multi-model Powered Machine Learning
  19. ML in Production: Serverless and Painless
  20. Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
  21. Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
  22. Modern Data Warehousing at Scale Using Azure Data Factory
  23. Balancing Performance, Scalability, and High Availability in Your Database Environment
  24. Enabling Microservices for Big Data On-demand in the Cloud
  25. From ETL to ELT: Building a Scalable Data Stack with SQL
  26. Data, Governance, and Freedom
  27. How to Get the Technology Stack Right for Your Business
  28. Data Modelling with Apache Cassandra
  29. How to Orchestrate Your ML Pipelines in Hybrid Cloud
  30. Full Stack Metadata Driven Thinking to Drive Business Agility
  31. Enhance Developer Experience Using OpenShift on Azure
  32. Fast Data for Faster Business
  33. Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
  34. Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
  35. Bridge to Cloud
  36. How to Train Your AI Models at Scale
  37. 99% of Your IoT Data Is Worthless, but Which 99%?
  38. Data Engineering in MagicLab: The Birth and Life of an Event
  39. RNA - Event Stream Processing Made Simple
  40. When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
  41. Saving Energy in Homes with a Unified Approach to Data and AI
  42. Building Stream Processing Applications with Apache Kafka Using KSQL
  43. Real-world, Real-time Digital Transformation
  44. Machine Data in Industry 4.0: How to Handle It Better
  45. Why CockroachDB in the Kindred Platform?
  46. The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
  47. Effective Cloud Migration Strategies for Your Modern Data Applications
  48. Snowflake? Why Should I Care?
  49. The Future of Business Intelligence Isn't a Tool
  50. AI-driven Retail for the 21st Century
  51. The Next Generation of Data Architecture
  52. Modern Enterprise Data Engineering
  53. Taking Control of User Analytics with Snowplow
  54. Flex Your Data(Ops) Muscles
  55. You Love Big Data, so Does R
  56. Building Predictive Maintenance Solutions
  57. Quickly, Codelessly Connect Any Application to Any REST API
  58. Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
  59. From Waterfall to Agile – A Data Warehouse Modernisation Story
  60. Freeing up Engineering and Infrastructure Resources to Scale with DataOps
  61. Unit Testing with pytest
  62. Credit Card Fraud – Why the Database Matters
  63. Data Science at SEGA
  64. British Telecom: Data-driven Digital Transformation
  65. Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
  66. Data Analytics & IoT Innovations at Bosch
  67. Converting the CDO to a Profit Centre
  68. Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
  69. Governed Data Discovery
  70. Journey to Create a Great Analytic Culture
  71. Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
  72. Democratising Data – How We Built a Self-serve Data Platform
  73. Discover the “Why” You Didn't Know Existed
  74. Selecting Your Fantasy Premier League Team with Advanced Analytics
  75. Decouple Storage from Compute
  76. Data Skills: Building a Data Team Fit for a Data-driven Enterprise
  77. Consent, Compliance, and the Impact on Customer Experience
  78. AI & Communication: Meaningful Data from New Sources
  79. Real-time Personalised Customer Interaction at Scale
  80. Data: The Musical, with LW Theatres
  81. Self-service and Tableau Community at Lloyds Banking Group
  82. The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
  83. Using Location Intelligence to Place Solar Panels in Rwanda
  84. Embedding Intelligence into the Heart of Customer Operations
  85. The Art of Customer Conversations
  86. How to Build a Fully Autonomous Card Fraud Detection System
  87. At Last! The Real-time Customer Experience
  88. Data Privacy Mythbusting
  89. Demystifying Data – What They Don’t Tell You at Data School
  90. Optimizing Your Data Value Chain with Agile Data Management
  91. Data at SEGA Europe
  92. Keep Your Data Lake from Getting Hadooped
  93. Top 10 Privacy Tips & Tricks in Big Data
  94. Data Governance as a Customer Service
  95. 7 AI Quick Win Projects
  96. Delivering Value with Intelligent Data Governance
  97. The Culture Competition – Personalisation vs. Privacy
  98. DataOps for AI and Digital Transformation
  99. Big Data LDN: A GDPR Retrospective
  100. GDPR: A Sword Not a Shield
  101. Drive Business Growth While Satisfying GDPR and CCPA (viewing)
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Discusses automation and risk of re-identification for privacy compliance while preserving analytical value of data
Covers new privacy-preserving approaches for data driven organizations
Addresses evolving privacy controls in data science and analytics environments
Instructors are Big Data LDN, recognized for their work in data science and analytics
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